[masklinn]

> Sure there are some edge cases that don't work the same, but most apps won't hit those.

That really depends on your modelling style. If you like things like types, SQL-side processing (eg using functions), or covering indexes, then you’ll hit issues every five minutes in sqlite.

SQLite really wants the logic (including consistency logic) in the application, just compare the list of aggregate functions in postgres versus sqlite, or consider that you have to enable FKs on a per-connection basis.

Which I guess is why ORMs help a lot: they are generally based on application-side logic and LCD database.

[simonw]

I'm pretty sure SQLite has covering indexes. And the relatively new strict mode should enforce at least basic types (though if you want to enforce your own rules for things like dates you're still on your own).

[masklinn]

> I'm pretty sure SQLite has covering indexes.

I checked to be sure I had not missed it, and didn’t find anything. You have expressions and conditions, but no covering. Obviously you can kinda emulate it by adding the columns you want to cover to the key, but…

> though if you want to enforce your own rules for things like dates you're still on your own

That’s what I was talking about, having richer types, and the ability to create more (especially domains).

Strict tables provides table stakes of actually enforcing the all-of-5-types sqlite has built-in. Afaik a strict mode is something that’s still being discussed if it ever becomes reality.

[samatman]

SQLite has what they "call a covering index", see point 9 here: https://www.sqlite.org/optoverview.html

My impression is that this mechanism is less general than what one finds in full-fat client-server SQLite databases.

[masklinn]

Ya if my reading is correct this is the poor man's covering index: if all the requested data is in the index key the query will not hit the table, so you can add additional fields at the end of the key to get index-only scans (at a cost, also some flexibility cost e.g. doesn't work with unique indexes).

I guess it's less of an issue in sqlite than in databases with richer datatypes in the sense that all datatypes are ordered and thus indexable.

[cztomsik]

can you elaborate? I was living under impression that what sqlite has, is exactly what covering index is...

[masklinn]

With a "proper" covering index (an INCLUDE clause in SQL Server or Postgres for example) you add data to the index value. This means it can be retrieved just by looking into the index but

- it's not constrained (e.g. to be orderable)

- it does not affect the behaviour of the index, so you can have covering data in a UNIQUE index, or in a PK constraint (although for the latter one might argue a clustered index is superior)

- it only takes space in leaf nodes, not interior nodes, so you can have better occupancy of interior node pages, less pages to traverse during lookup, and they have better cache residency

- and finally the intent is clearer, when you put everything in the key it does not tell the reader what's what and why it there, and thus makes it harder to evaluate changes

[simonw]

In PostgreSQL a covering index can be configured which includes extra information from columns that aren't part of the searchable index itself. It's documented quite well here: https://www.postgresql.org/docs/current/indexes-index-only-s...

    CREATE INDEX tab_x_y
    ON tab(x) INCLUDE (y);

[simonw]

"Obviously you can kinda emulate it by adding the columns you want to cover to the key"

Right, that seems like a good solution to me.

[masklinn]

It’s a workaround, but it bloats the interior pages of the index with the covering data, which increases the size of the index and makes lookup less efficient (as they have to traverse more interior pages, and since there are more pages those are less likely to remain in cache).

[distalx]

I use SQLite in my personal projects, not professionally. I was wondering if you could elaborate on what you mean by 'consistency logic' in the context of SQLite.